---
title: "My Plots"
output: 
  flexdashboard::flex_dashboard:
    orientation: column
    vertical_layout: fill
    theme: united
    source: embed
---

```{r setup, include=FALSE}
library(tidyverse)
library(dplyr)
library(p8105.datasets)
library(plotly)
library(flexdashboard)
data("rest_inspec")
```

Column {data-width=650}
--------------------------------------------------------------------

### Chart A

```{r, echo=FALSE, message=FALSE}
inspect1 = rest_inspec %>% 
  drop_na(score) %>% 
  sample_n(10000)

inspect2 = inspect1 %>% 
  filter(score > 60) %>% 
  group_by(boro) %>% 
  summarize(score_count = n())

plot_ly(inspect2 ,x = ~boro, y = ~score_count, type = "bar", colors = "viridis") %>% 
  layout(title = 'Scores of > 60 by Borough',
         xaxis = list(title = 'Boroughs of NY'),
         yaxis = list(title = 'Count'))
```

Column {data-width=350}
-------------------------------------------------------------------

### Chart B

```{r, echo=FALSE, message=FALSE}

inspect4 = inspect1 %>% 
  janitor::clean_names() %>%
  drop_na() %>% 
  filter(cuisine_description == "American", inspection_type == "Cycle Inspection / Initial Inspection") %>%
  group_by(boro) %>% 
  mutate(boro = as.factor(boro)) 

plot_ly(inspect4, x = ~boro, y = ~score, color = ~boro, type = "box") %>% 
  layout(title = 'Distribution of Health Scores for American-Style Restaurants Across Boroughs',
         xaxis = list(title = 'Boroughs of NY'),
         yaxis = list(title = 'Score Distribution'))

  
```

### Chart C

```{r, echo=FALSE, message=FALSE}
inspect5 = inspect1 %>% 
  janitor::clean_names() %>%
  drop_na() %>% 
  filter(cuisine_description == "Chinese", inspection_type == "Cycle Inspection / Initial Inspection") %>%
  group_by(boro) %>% 
  mutate(boro = as.factor(boro)) 

plot_ly(inspect4, x = ~boro, y = ~score, color = ~boro, type = "box") %>% 
  layout(title = 'Distribution of Health Scores for Chinese-Style Restaurants Across Boroughs',
         xaxis = list(title = 'Boroughs of NY'),
         yaxis = list(title = 'Score Distribution'))

```